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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 5.2

International Journal of Applied Research

Vol. 5, Issue 8, Part B (2019)

Web sentiment analysis: Social media networking

Author(s)
Dr. A Pappu Rajan
Abstract
Social media networking sites are very important in this technological era and the comments, reviews played vital role to make business decision. In general analysis of fundamental and technical analysis can predict a stock to the certain extent but social media platform will reflect further prediction of stocks. In this study three industries such as FMCG industry, Telecom Industry, IT Industry are taken for the analysis. The financial data is extracted from the money control and social media reviews are extracted from Trackur tool. Sentiment analysis is used to extract such opinion and remarks of users by classifying them as positive, negative and neutral sentiment. Then the stock price changes can be compared. Pearson correlation has found and then regression model has built and researcher can find stock price movements and influences to social media in the same.
Pages: 65-67  |  49 Views  4 Downloads
How to cite this article:
Dr. A Pappu Rajan. Web sentiment analysis: Social media networking. International Journal of Applied Research. 2019; 5(8): 65-67.
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